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Cited by 316

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Operating Performance and the Method of Payment in Takeovers

Heron, Randall, Lie, Erik·2002·The Journal of Financial and Quantitative Analysis

Abstract

This study investigates the relation between the method of payment in acquisitions, earnings management, and operating performance for a large sample of firms that conducted acquisitions between 1985 and 1997. Prior to their acquisitions, acquirers exhibit levels of operating performance that exceed that of their respective industry peers. We find no evidence that acquirers manage their earnings prior to acquisitions, despite the possible incentives of managers who plan stock-based acquisitions to temporarily inflate their stock's purchasing power. Subsequent to acquisitions, acquirers continue to exhibit superior performance relative to their industry and experience significantly higher levels of operating performance than control firms with similar pre-event operating performance. Although the extant literature documents significant relations between the form of acquisition payment, announcement returns, and the post-acquisition excess return of acquirers, we find no evidence that the method of payment conveys information about the acquirer's future operating performance.

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Metadata

Authors
Heron, R., & Lie, E.
Venue
The Journal of Financial and Quantitative Analysis
Publisher
JSTOR
Published
2002-03
Volume
37
Issue
1
Pages
137
ISSN
0022-1090 (ISSN-L)
OpenAlex
W2158398324
Cited by
316
References
40
FWCI
18.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Operating Performance and the Method of Payment in Takeovers. https://app.cochat.ai/papers/10.2307/3594998
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Heron, R., & Lie, E. (2002). Operating Performance and the Method of Payment in Takeovers. The Journal of Financial and Quantitative Analysis. https://doi.org/10.2307/3594998

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.